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首页> 外文期刊>Journal of Food Science >Authentication of Whey Protein Powders by Portable Mid-Infrared Spectrometers Combined with Pattern Recognition Analysis
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Authentication of Whey Protein Powders by Portable Mid-Infrared Spectrometers Combined with Pattern Recognition Analysis

机译:便携式中红外光谱仪结合模式识别分析鉴定乳清蛋白粉

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摘要

The objective of this study was to develop a simple and rapid method to differentiate whey protein types (WPC, WPI, and WPH) used for beverage manufacturing by combining the spectral signature collected from portable mid-infrared spectrometers and pattern recognition analysis. Whey protein powders from different suppliers are produced using a large number of processing and compositional variables, resulting in variation in composition, concentration, protein structure, and thus functionality. Whey protein powders including whey protein isolates, whey protein concentrates and whey protein hydrolysates were obtained from different suppliers and their spectra collected using portable mid-infrared spectrometers (single and triple reflection) by pressing the powder onto an Attenuated Total Reflectance (ATR) diamond crystal with a pressure clamp. Spectra were analyzed by soft independent modeling of class analogy (SIMCA) generating a classification model showing the ability to differentiate whey protein types by forming tight clusters with interclass distance values of >3, considered to be significantly different from each other. The major bands centered at 1640 and 1580 cm~(-1) were responsible for separation and were associated with differences in amide Ⅰ and amide Ⅱ vibrations of proteins, respectively. Another important band in whey protein clustering was associated with carboxylate vibrations of acidic amino acids (~1570 cm~(-1)). The use of a portable mid-IR spectrometer combined with pattern recognition analysis showed potential for discriminating whey protein ingredients that can help to streamline the analytical procedure so that it is more applicable for field-based screening of ingredients.
机译:这项研究的目的是通过结合从便携式中红外光谱仪收集的光谱特征和模式识别分析,开发一种简单快速的方法来区分用于饮料制造的乳清蛋白类型(WPC,WPI和WPH)。来自不同供应商的乳清蛋白粉使用大量的加工和成分变量生产,导致成分,浓度,蛋白质结构以及功能的变化。乳清蛋白粉(包括乳清蛋白分离物,乳清蛋白浓缩物和乳清蛋白水解物)是从不同的供应商处获得的,并且使用便携式中红外光谱仪(单反射和三反射)通过将粉末压到衰减全反射(ATR)金刚石晶体上来收集其光谱。用压力夹。通过类比的软独立建模(SIMCA)分析了光谱,生成了分类模型,该分类模型显示了通过形成类间距离值大于3的紧密簇来区分乳清蛋白类型的能力,认为彼此之间存在显着差异。以1640和1580 cm〜(-1)为中心的主要谱带负责分离,并分别与蛋白质的酰胺Ⅰ和酰胺Ⅱ振动差异有关。乳清蛋白聚集的另一个重要谱带与酸性氨基酸(〜1570 cm〜(-1))的羧酸盐振动有关。便携式中红外光谱仪与模式识别分析相结合的使用显示出鉴别乳清蛋白成分的潜力,这有助于简化分析程序,因此更适用于基于现场的成分筛选。

著录项

  • 来源
    《Journal of Food Science》 |2015年第12期|2111-2116|共6页
  • 作者单位

    Dept. of Food Science and Technology, The Ohio State Univ., 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, Ohio, 43210, U.S.A.;

    Pepsi-Cola Company, 100 Stevens Ave, Valhalla, N.Y. 10595, U.S.A.;

    Pepsi-Cola Company, 100 Stevens Ave, Valhalla, N.Y. 10595, U.S.A.;

    Dept. of Food Science and Technology, The Ohio State Univ., 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, Ohio, 43210, U.S.A.,Dept. of Food Engineering, Faculty of Engineering, Adnan Menderes Univ., Aydin, 09100, Turkey;

    Dept. of Food Science and Technology, The Ohio State Univ., 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, Ohio, 43210, U.S.A.;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ingredient authentication; pattern recognition; portable mid-infrared spectrometer; whey protein powder;

    机译:成分认证;模式识别;便携式中红外光谱仪乳清蛋白粉;

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